Run read-only production smoke checks for secondlayer and report health statuses.
npx skills add https://github.com/ryanwaits/secondlayer --skill prod-smoke
Please help me install this Agent Skill. Skill: prod-smoke Source: https://github.com/ryanwaits/secondlayer/tree/main/.claude/skills/prod-smoke Command: npx skills add https://github.com/ryanwaits/secondlayer --skill prod-smoke
This Skill helps you verify whether secondlayer’s production system is healthy, without making any changes, so you can quickly spot outages, regressions, and data integrity issues.
Ask the agent to run the secondlayer production smoke sweep and return a single scorecard with infrastructure, data-plane, API, conservation, and regression results.
High-intent search queries and answers about installing and using this skill.
A production smoke test verifies live system health without making changes. This Skill runs a read-only sweep checking container inventory, decoder lag, public subgraph reads, and balance conservation, returning a prioritized status scorecard.
A production health check includes infrastructure, data-plane, API, conservation, and regression validation. It confirms container replica counts, database connectivity, decoder lag, operation queues, public API endpoints, and known-bug markers to catch outages and data integrity issues early.
Yes, you need SSH access to the app server to inspect Postgres and run prod regression probes. The Skill requires SSH access for container health checks, public API calls, and strict non-mutating database verification to complete its production smoke sweep.
To check balance conservation and chain-truth supply in production, run a non-mutating smoke sweep. This Skill validates conservation rules and flags husk-canary failures as top-line findings, ensuring data integrity and catching regressions that have caused real production incidents.
Yes, you can verify public subgraph reads and API health without mutating production data. The Skill performs strict non-mutating verification, reading public endpoints and subgraphs while treating any conservation failures as prioritized top-line findings in the final scorecard.
The best way to catch decoder lag and stuck workflows is a data-plane validation smoke sweep. This Skill checks operation queues and processing backlogs early, returning a single prioritized scorecard that flags infrastructure, API, and regression issues after deploys.
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